he zones of speed reduction effect near speed humps (i.e., ±30?m from speed humps), fewer pedestrian crashes per roadway distance occurred and pedestrian injuries were less severe, compared with events outside the effect zones. This safety improvement was greater on major roads than local roads. Practical Applications This work finds that the speed reductions that occurred near speed humps were gradual and influential ±30?m from their locations, suggesting that the hump installations should be close enough to the pedestrian crossings. It is noteworthy that, albeit that speed humps are more prevalent on local roads, the benefits of speed reduction effects from speed humps were more pronounced on major roads than on local roads. Therefore, speed humps on major roads can be considered a more effective measure for pedestrian safety.Few studies have investigated what guidance occurs during the Learner phase of driving, particularly during formal lessons. The objective of this research was threefold (a) investigate functional and higher-order driving instruction (HO-DI) in formal Learner lessons, (b) explore teaching approaches within the context of a theoretical framework, and (c) investigate variation in these three elements of instruction as a function of Learner driving experience. The theoretical framework developed to guide this research integrated the constructivist Goals for Driver Education and self-determination theory.
Professional instruction was explored through naturalistic observation; 15 instructors provided GoPro recordings of 110 driving lessons with Learners aged 16-19?years (n?=?96) at varying levels of experience Early (&lt;20 logbook hours), Mid (21-70?h), and Late (71-&gt;100?h).
Employing a previously-developed coding taxonomy, instructor guidance opportunities were identified as 15% HO-DI, 73% functional insctice, with practical implications for improvements to industry training.Although the term "golden hour" is a well-known concept among trauma system and emergency medical service providers, the relationship between time and trauma patient outcome and the process of prehospital care for road trauma patients in rural settings are poorly understood. As the underlying basis for triage decision-making, the estimated transport interval to trauma center is usually absent in the existing studies.
In this study, the crash data between 2013 and 2017 were obtained from the Fatality Analysis Reporting System, and the estimated intervals were calculated by using a Geographic Information System software. By comparing the estimated intervals with actual emergency medical services records, the field triage patterns for road patients were investigated at the state and county levels.
With the help of the interval prediction maps, the different triage patterns among counties were identified. Further, the average fatalities per 100,000 population by county from the National Highway Traffic Safe that, for most states, all intervals except the notification interval had a significant correlation with the mortality. The estimated interval had a more significant relationship with the mortality than the actual transport interval. Practical applications These findings indicated that adhering to the "golden hour" without regarding the destination may not be helpful for the survival of road trauma patients. The regression analyses and the interval maps can be used to identify patterns of inappropriate destination selection so that prospective decision-making can be improved.Vessel disasters (e.g., sinkings, capsizings) are a leading contributor to fatalities in the U.S. commercial fishing industry. Primary prevention strategies are needed to reduce the occurrence of vessel disasters, which can only be done by developing an understanding of their causes and risk factors. If less serious vessel casualties (e.g., loss of propulsion, fire, flooding) are predictors of future disasters, then reducing vessel casualties should in turn reduce vessel disasters and the accompanying loss of life.
This case-control study examined the association between vessel casualties and disasters using fishing vessels in Alaska during 2010-2015.
The findings show that vessels that experienced casualties within a preceding 10-year period were at increased odds of disaster. Other significant predictors included safety decal status and hull material. https://www.selleckchem.com/products/r428.html Practical Applications The results of this analysis emphasize the importance of implementing vessel-specific preventive maintenance plans. At an industry level, specific prevention policies should be developed focusing on high-risk fleets to identify and correct a wide range of safety deficits before they have catastrophic and fatal consequences.
The findings show that vessels that experienced casualties within a preceding 10-year period were at increased odds of disaster. Other significant predictors included safety decal status and hull material. Practical Applications The results of this analysis emphasize the importance of implementing vessel-specific preventive maintenance plans. At an industry level, specific prevention policies should be developed focusing on high-risk fleets to identify and correct a wide range of safety deficits before they have catastrophic and fatal consequences.Many U.S. cities have adopted the Vision Zero strategy with the specific goal of eliminating traffic-related deaths and injuries. To achieve this ambitious goal, safety professionals have increasingly called for the development of a safe systems approach to traffic safety. This approach calls for examining the macrolevel risk factors that may lead road users to engage in errors that result in crashes. This study explores the relationship between built environment variables and crash frequency, paying specific attention to the environmental mediating factors, such as traffic exposure, traffic conflicts, and network-level speed characteristics.
Three years (2011-2013) of crash data from Mecklenburg County, North Carolina, were used to model crash frequency on surface streets as a function of built environment variables at the census block group level. Separate models were developed for total and KAB crashes (i.e., crashes resulting in fatalities (K), incapacitating injuries (A), or non-incapacitating injuries (B)) using the conditional autoregressive modeling approach to account for unobserved heterogeneity and spatial autocorrelation present in data.